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Phishing emails, those deceptive messages designed to steal sensitive information, remain a significant cybersecurity threat. As attackers devise increasingly sophisticated tactics, traditional detection methods often fall short. Researchers from the University of Auckland, have introduced a novel approach to combat this issue. Their paper, titled “ MultiPhishGuard: An LLM-based Multi-Agent System for Phishing Email Detection ,” authored by Yinuo Xue, Eric Spero, Yun Sing Koh, and Gi
IBM (NYSE:IBM) announcedwatsonx AI Labs, a developer-first hub in New York City designed for AI builders and AI adoption at scale. watsonx AI Labs connects IBM's enterprise resources and expertise with AI developers building AI applications for business.
Groq announced a partnership with Bell Canada to power Bell AI Fabric, the countrys largest sovereign AI infrastructure project to establish a national AI network at six sites, targeting 500MW of hydro-powered.
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
Cisco Talos has uncovered new threats, including ransomware like CyberLock and Lucky_Gh0$t, and a destructive malware called Numero, all disguised as legitimate AI tool installers to target victims.
Researchers from Metas FAIR team and The Hebrew University of Jerusalem have discovered that forcing large language models to think less actually improves their performance on complex reasoning tasks.
Because vendors now have to be more engaged, they have to be out in the field more. This has led to the evolution and rise of the field chief technology officer.
Reinforcement Learning from Human Feedback (RLHF) is a popular technique used to align AI systems with human preferences by training them using feedback from people, rather than relying solely on predefined reward functions. Instead of coding every desirable behavior manually (which is often infeasible in complex tasks) RLHF allows models, especially large language models (LLMs), to learn from examples of what humans consider good or bad outputs.
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
Potential treatments for amyotrophic lateral sclerosis (ALS) and other neurodegenerative diseases may already be out there in the form of drugs prescribed for other conditions.
This post is divided into five parts; they are: Naive Tokenization Stemming and Lemmatization Byte-Pair Encoding (BPE) WordPiece SentencePiece and Unigram The simplest form of tokenization splits text into tokens based on whitespace.
Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives
Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri
As diffusion models dominating visual content generation, efforts have been made to adapt these models for multi-view image generation to create 3D content. Traditionally, these methods implicitly learn 3D consistency by generating only RGB frames, which can lead to artifacts and inefficiencies in training. In contrast, we propose generating Normalized Coordinate Space (NCS) frames alongside RGB frames.
In the past couple of years as AI systems have become more capable of not just generating text, but taking actions, making decisions and integrating with enterprise systems, they have come with additional complexities. Each AI model has its own proprietary way of interfacing with other software.
Base64 is a binary-to-text encoding methodology that helps represent binary data in ASCII string format. Its often used to encode data for transmission over media that are mostly text, like emails, JSON-based APIs, etc., so that binary data like images and files don’t get corrupted. The term Base64 comes from the fact that it uses […] The post Understanding Base64 appeared first on Analytics Vidhya.
Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.
*Equal Contributors Identifying mistakes (i.e., miscues) made while reading aloud is commonly approached post-hoc by comparing automatic speech recognition (ASR) transcriptions to the target reading text. However, post-hoc methods perform poorly when ASR inaccurately transcribes verbatim speech. To improve on current methods for reading error annotation, we propose a novel end-to-end architecture that incorporates the target reading text via prompting and is trained for both improved verbatim tr
For accounting departments, no software is more important than the general ledger system. Its the central hub that summarizes all financial transactions, providing the essential data needed to create accurate financial statements.
Speaker: Chris Townsend, VP of Product Marketing, Wellspring
Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?
Deploying a machine learning model is one of the most critical steps in setting up an AI project. Whether its a prototype or you are scaling it for production, model deployment in ML ensures that the models are accessible and can be used in practical environments. In this article, well explore the best platforms to […] The post 8 FREE Platforms to Host Machine Learning Models appeared first on Analytics Vidhya.
As the administration tries to block international students from attending Harvard University, NYT’s the Upshot charted the schools with the highest percentage of international students. I don’t know anything about Illinois Tech, but whoa, over half of undergraduates and graduate students are from outside the U.S.
Researchers Neemesh Yadav, Palakorn Achananuparp, Jing Jiang, and Ee-Peng Lim from Singapore Management University and the Australian National University have conducted a large-scale study on how large language models (LLMs) simulate human-like decision-making in social negotiations. Their work explores how theory of mind (ToM) reasoning and different prosocial belief systems affect the behavior of AI agents in a classic economic simulation known as the ultimatum game.
In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!
Claude 4s whistle-blow surprise shows why agentic AI risk lives in prompts and tool access, not benchmarks. Learn the 6 controls every enterprise must adopt.
While I prefer AI native to describe the product development approach centered on AI that were trying to encourage at OReilly, Ive sometimes used the term AI first in my communications with OReilly staff. And so I was alarmed and dismayed to learn that in the press, that term has now come to mean using AI to replace people. Many Silicon Valley investors and entrepreneurs even seem to view putting people out of work as a massive opportunity.
Are you fascinated by the evolving world of AI agents? Today, we can see AI agents almost everywhere, making our lives easier. Almost every field benefits from it, whether it is your last-minute ticket booking or your coding companion. AI agents have effectively tapped into every market. Everyone wants to build them to optimize their […] The post 8 Things to Keep in Mind while Building AI Agents appeared first on Analytics Vidhya.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
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